DOI: 10.1016/j.enpol.2021.112515
论文题名: Social and environmental conflict analysis on energy projects: Bayesian predictive network approach
作者: Hernández-Cedeño I. ; Nelson P.F. ; Anglés-Hernández M.
刊名: Energy Policy
ISSN: 03014215
出版年: 2021
卷: 157 语种: 英语
中文关键词: Renewable energy
; Socio-environmental conflicts
; Sustainable energy
英文摘要: This paper analyzes the social and environmental aspects of energy and large-scale projects through the use of Bayesian Networks. To do this, a database was created that includes conflict causes related to 267 projects in Mexico with 12 well-defined and orthogonal social and environmental conflict causes. These are lack of information and participation, fear of change to local communities, health and environmental damage, reduction of primary sector activities, proximity to cultural landmarks, employee dissatisfaction, political interests, violence to the community, water use, non-compliance of agreements, land use disputes, and others not defined. The database was the input for two Bayesian Networks, network “A” estimates the likelihood of approval or risk of suspension of a project because of the conflict causes, with an overall accuracy of 80.3%. The network “B” estimates the costs of conflictive situations and how likely they can be resolved by adding benefits. A sensitivity analysis found that five conflict causes can reduce the probability of a project's success by 10–39%. Finally, policy implications were identified, resulting in four recommendations for implementation in national regulations. The tools developed here enable measurement of the benefits of energy projects, provide policymakers tools to improve public decisions, and help avoid conflicts. © 2021 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167820
Appears in Collections: 气候变化与战略
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作者单位: Energy Systems Department, Faculty of Engineering, National Autonomous University of Mexico, Circuito Escolar s/n, C.U., Coyoacán, Mexico City, 04510, Mexico; Institute of Legal Research, National Autonomous University of Mexico, Circuito Mario de la Cueva s/n, C.U., Coyoacán, Mexico City, 04510, Mexico
Recommended Citation:
Hernández-Cedeño I.,Nelson P.F.,Anglés-Hernández M.. Social and environmental conflict analysis on energy projects: Bayesian predictive network approach[J]. Energy Policy,2021-01-01,157